Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning

Documenti analoghi

• Efficient Offline Reinforcement Learning: First Imitate, then Improve
  di: Jelley, Adam, et al.
  Pubblicazione: (2024)
• Object-Centric World Models from Few-Shot Annotations for Sample-Efficient Reinforcement Learning
  di: Zhang, Weipu, et al.
  Pubblicazione: (2025)
• Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning
  di: McInroe, Trevor, et al.
  Pubblicazione: (2022)
• LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots
  di: Han, Dongge, et al.
  Pubblicazione: (2024)
• PixelBrax: Learning Continuous Control from Pixels End-to-End on the GPU
  di: McInroe, Trevor, et al.
  Pubblicazione: (2025)